Description

We are looking for a Python Developer with strong AI prompt engineering skills to build intelligent automation tools for our SaaS platform. This role goes beyond traditional software development—you will be responsible for:

• Extracting structured data from our databases
• Crafting optimized prompts using that data for OpenAI’s API
• Retrieving and processing AI-generated insights
• Building automated workflows to integrate these insights at scale

This role is ideal for someone who understands both data engineering and AI communication—leveraging structured data to create effective prompts that yield high-quality AI responses.

Primary Responsibilities/Essential Functions

1. AI Prompt Engineering & Optimization

   1. Design, test, and refine prompts for OpenAI’s API to ensure accuracy, relevance, and structured outputs

   2. Develop dynamic prompts that adapt to different product categories, business rules, and warehouse conditions

   3. Apply techniques like few-shot learning, chain-of-thought prompting, and contextual prompting to improve AI performance

   4. Debug and iterate on AI-generated responses to reduce hallucinations and improve consistency

2. Data Retrieval, Processing & Structuring

   1. Connect to and query SQL/NoSQL databases to retrieve millions of product records and warehouse data

   2. Clean, transform, and structure data before passing it to OpenAI’s API

   3. Ensure high data integrity for AI-driven insights

3. API Integration & Workflow Automation

   1. Integrate OpenAI’s API with structured data sources for real-time and batch processing

   2. Automate large-scale AI-powered workflows to handle high volumes of data interactions

   3. Design error-handling and retry mechanisms for reliable API integration

4. Scalability & Performance Optimization

   1. Build high-performance, scalable data pipelines to process AI results efficiently

   2. Optimize prompt response times and API cost efficiency

   3. Use caching (e.g., Redis) and parallel processing to enhance performance

5. Collaboration & Documentation

   1. Work closely with data engineers, product teams, and AI specialists to integrate AI-driven insights

   2. Document workflows, code, and prompt strategies for maintainability and optimization

Qualifications

• Python Expertise – 3-5 years of experience with Python for data handling, API interactions, and automation

• Database Querying – Strong SQL & NoSQL skills for retrieving and structuring large datasets

• OpenAI API & LLM Experience – Experience or strong interest in working with OpenAI’s API (GPT models) and prompt engineering

• AI Prompt Optimization – Understanding of how to structure AI prompts for clarity, accuracy, and efficiency

• API Integration & Automation – Experience in RESTful API interactions and processing structured responses

• Data Processing & Transformation – Proficiency in pandas, numpy for cleaning and preparing data before AI inference

• Scalability & Performance Optimization – Familiarity with asynchronous programming, parallel processing, caching

• Version Control & CI/CD – Hands-on experience with Git, Docker, CI/CD pipelines

Preferred Skills

• Experience fine-tuning OpenAI models or custom LLM deployment

• Hands-on experience with big data tools (e.g., Snowflake, BigQuery, Databricks)

• Familiarity with asynchronous processing (asyncio, Celery) for high-volume API calls

• Experience in pricing automation & AI-powered decision-making